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Abstract #2374

Model-Based Reconstruction of Hyperpolarized [1- 13 C]-Pyruvate

James Bankson 1 , Christopher Walker 1 , Wolfgang Stefan 1 , David Fuentes 2 , Matthew Merritt 3 , Yunyun Chen 4 , Craig Malloy 3 , Dean Sherry 3 , Stephen Lai 4 , and John Hazle 1

1 Department of Imaging Physics, UT MD Anderson Cancer Center, Houston, TX, United States, 2 UT MD Anderson Cancer Center, Department of Imaging Physics, Houston, TX, United States, 3 Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States, 4 Department of Head & Neck Surgery, UT MD Anderson Cancer Center, Houston, TX, United States

Hyperpolarized (HP) MRI has enabled observation of biochemical processes in vivo with unprecedented resolution and specificity. These measurements are challenging due to the transient and non-renewable nature of HP signal enhancement, and the need to distribute dynamic spatial observations over a sufficient span of time to allow substrate interaction with biological targets. We have developed a kinetic model to describe the evolution of HP [1- 13 C]-pyruvate in vivo, and integrated this model into a constrained reconstruction algorithm exploits prior information from 1 H MRI and allows estimation of under-sampled dynamic HP imaging data as continuous functions of position and time.

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